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Llama 3.2 3B Instruct vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 34.5% higher average benchmark score. Llama 3.2 3B Instruct offers 95.2K more tokens in context window than o1-preview. Llama 3.2 3B Instruct is $74.97 cheaper per million tokens. Overall, o1-preview is the stronger choice for coding tasks.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
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OpenAI
o1-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
13 days newer
o1-preview
OpenAI
2024-09-12
Llama 3.2 3B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($74.97 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 3B Instruct
Average Score:50.6%
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o1-preview
Average Score:85.1%(+34.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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o1-preview
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Llama 3.2 3B Instruct
Avg Score:50.6%
Providers:1
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o1-preview
Avg Score:85.1%(+34.5%)
Providers:2